Senior AI Platform Engineer
Aquablu B.V
| Company | Aquablu B.V |
| Category | Engineering |
| Location | Amsterdam |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (recruitee) |
Description
Who are we? At Aquablu we’re disrupting the marketplace with a revolutionary (flavored) water system. Brought to life in 2018, our founders Marnix and Marc promised a healthy but tasty alternative to soft drinks. Today, our water is tapped in almost 16 countries. And we continue to make waves by teaming up with industry leaders like Heineken, Adyen and Marriott Hotels. Join us in our mission to save one billion plastic bottles by 2030! “That might sound really ambitious, but our team is part of an inspiring movement in an industry that’s thirsty for change.” - Marc, Co-founder of Aquablu About the Job: How fast our product builders go from idea to something real in users' hands is how our digital products win. You build the engine that makes that speed possible (and safe) by default. You build the platform underneath everyone who ships: the prototyping environment, the deploy pipelines, the test and eval harnesses, the AI tooling, and the runtime our AI agents and automated workflows run on. When a builder has an idea on Monday and it's in front of users on Friday, your platform is why — and why everyone can trust it works. Every hour you save the team compounds across every product we build. This is a deeply hands-on senior engineering role with wide autonomy. You scope, decide, and deliver the platform yourself — you're the domain expert everyone who ships comes to, and the standards you set become how the whole team works. You're also the quality owner for the digital org: the testing strategy, the eval strategy, and the bar itself sit with you, encoded in infrastructure rather than enforced by meetings. You're in the code every day, building real infrastructure with AI as your primary collaborator. One day you're cutting a deploy pipeline from hours to minutes; the next you're building the eval harness so a builder can trust a feature behaves before it ever reaches a user; the day after you're putting guardrails and monitoring around an agent that runs company workflows unsupervised. You own the rails; the builders and engineers own what runs on them. Your job is that everything on those rails ships fast, behaves predictably, and stays affordable. If building the thing that makes a whole team faster excites you more than shipping any single feature: this is the role for you. This role reports into our Head of Digital Product, and is part of Aquablu's Software & Intelligence Engineering team. It’s a full-time position in our office in Amsterdam, Houthavens and office presence is 4 days minimum per week. What You'll Build & Own Prototyping & discovery environment: Build the sandbox and scaffolding that lets builders test an idea in hours, not weeks. CI/CD & deploy infrastructure: Own the path to production — fast, repeatable, and safe enough that shipping doesn't need permission. Automated testing & quality gates: Build the test infrastructure that proves code works before it ships — AI-generated and AI-maintained test suites, regression coverage, and quality gates wired into CI so every change gets checked by the pipeline. You define what "good enough to ship" means and encode it, so quality holds at speed without a human standing in the way. QA ownership: You're the quality owner for the digital org. The testing strategy, the eval strategy, and the bar itself sit with you — encoded in infrastructure, not enforced by meetings. Evaluation infrastructure: Make reliability measurable on systems where the same input can behave differently each run. Ship this as automated eval suites and guardrails builders can trust before a feature reaches users. Agent & workflow infrastructure: Own the runtime our AI agents and automated workflows run on — orchestration, permissions, versioning, cost, and monitoring. Agents that do real work are production software; you make them behave like it. AI tooling & enablement: Build the rails that let every build
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